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You searched for subject:(Constrained optimization). Showing records 1 – 30 of 206 total matches.

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University of Adelaide

1. Bonyadi, Mohammadreza. Particle swarm optimization: theoretical analysis, modifications, and applications to constrained optimization problems.

Degree: 2015, University of Adelaide

 This is a PhD thesis by publication. It includes five journal papers, three of them already published, and two submitted for publication in a very… (more)

Subjects/Keywords: optimization; convergence; transformation invariance; constrained optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bonyadi, M. (2015). Particle swarm optimization: theoretical analysis, modifications, and applications to constrained optimization problems. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/92599

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bonyadi, Mohammadreza. “Particle swarm optimization: theoretical analysis, modifications, and applications to constrained optimization problems.” 2015. Thesis, University of Adelaide. Accessed October 17, 2019. http://hdl.handle.net/2440/92599.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bonyadi, Mohammadreza. “Particle swarm optimization: theoretical analysis, modifications, and applications to constrained optimization problems.” 2015. Web. 17 Oct 2019.

Vancouver:

Bonyadi M. Particle swarm optimization: theoretical analysis, modifications, and applications to constrained optimization problems. [Internet] [Thesis]. University of Adelaide; 2015. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2440/92599.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bonyadi M. Particle swarm optimization: theoretical analysis, modifications, and applications to constrained optimization problems. [Thesis]. University of Adelaide; 2015. Available from: http://hdl.handle.net/2440/92599

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Oklahoma State University

2. Govindarajan, Anand. Optimization of Processes for Sustainability.

Degree: School of Chemical Engineering, 2011, Oklahoma State University

 This research is focused on developing a methodology to optimize processes for sustainability. To design a sustainable process that addresses economic, environmental and social concerns… (more)

Subjects/Keywords: chemical processes; constrained; multiobjective; optimization; sustainability; weighted

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APA (6th Edition):

Govindarajan, A. (2011). Optimization of Processes for Sustainability. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/9634

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Govindarajan, Anand. “Optimization of Processes for Sustainability.” 2011. Thesis, Oklahoma State University. Accessed October 17, 2019. http://hdl.handle.net/11244/9634.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Govindarajan, Anand. “Optimization of Processes for Sustainability.” 2011. Web. 17 Oct 2019.

Vancouver:

Govindarajan A. Optimization of Processes for Sustainability. [Internet] [Thesis]. Oklahoma State University; 2011. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/11244/9634.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Govindarajan A. Optimization of Processes for Sustainability. [Thesis]. Oklahoma State University; 2011. Available from: http://hdl.handle.net/11244/9634

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

3. Salazar De Troya, Miguel Angel A. Adaptive mesh refinement in topology optimization.

Degree: PhD, Mechanical Engineering, 2019, University of Illinois – Urbana-Champaign

 This dissertation presents developments in stress constrained topology optimization with Adaptive Mesh Refinement (AMR). Regions with stress concentrations dominate the optimized design. As such, we… (more)

Subjects/Keywords: topology; optimization; adaptive; mesh; refinement; stress; constrained

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APA (6th Edition):

Salazar De Troya, M. A. A. (2019). Adaptive mesh refinement in topology optimization. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/104776

Chicago Manual of Style (16th Edition):

Salazar De Troya, Miguel Angel A. “Adaptive mesh refinement in topology optimization.” 2019. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 17, 2019. http://hdl.handle.net/2142/104776.

MLA Handbook (7th Edition):

Salazar De Troya, Miguel Angel A. “Adaptive mesh refinement in topology optimization.” 2019. Web. 17 Oct 2019.

Vancouver:

Salazar De Troya MAA. Adaptive mesh refinement in topology optimization. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2019. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2142/104776.

Council of Science Editors:

Salazar De Troya MAA. Adaptive mesh refinement in topology optimization. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/104776


Rice University

4. Geldermans, Peter. Accelerated PDE Constrained Optimization using Direct Solvers.

Degree: MA, Engineering, 2018, Rice University

 In this thesis, I propose a method to reduce the cost of computing solutions to optimization problems governed by partial differential equations (PDEs). Standard second… (more)

Subjects/Keywords: PDE constrained optimization; direct solvers; fast solvers

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APA (6th Edition):

Geldermans, P. (2018). Accelerated PDE Constrained Optimization using Direct Solvers. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/105485

Chicago Manual of Style (16th Edition):

Geldermans, Peter. “Accelerated PDE Constrained Optimization using Direct Solvers.” 2018. Masters Thesis, Rice University. Accessed October 17, 2019. http://hdl.handle.net/1911/105485.

MLA Handbook (7th Edition):

Geldermans, Peter. “Accelerated PDE Constrained Optimization using Direct Solvers.” 2018. Web. 17 Oct 2019.

Vancouver:

Geldermans P. Accelerated PDE Constrained Optimization using Direct Solvers. [Internet] [Masters thesis]. Rice University; 2018. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1911/105485.

Council of Science Editors:

Geldermans P. Accelerated PDE Constrained Optimization using Direct Solvers. [Masters Thesis]. Rice University; 2018. Available from: http://hdl.handle.net/1911/105485


Oklahoma State University

5. Daneshyari, Moayed. Cultural Particle Swarm Optimization.

Degree: School of Electrical & Computer Engineering, 2010, Oklahoma State University

 In this dissertation, a computational paradigm is proposed that adopts the particle swarm optimization within a cultural framework. The cultural algorithm adopted here consists of… (more)

Subjects/Keywords: constrained optimization; cultural algorithm; dynamic optimization; multiobjective optimization; particle swarm o

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APA (6th Edition):

Daneshyari, M. (2010). Cultural Particle Swarm Optimization. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/7852

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Daneshyari, Moayed. “Cultural Particle Swarm Optimization.” 2010. Thesis, Oklahoma State University. Accessed October 17, 2019. http://hdl.handle.net/11244/7852.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Daneshyari, Moayed. “Cultural Particle Swarm Optimization.” 2010. Web. 17 Oct 2019.

Vancouver:

Daneshyari M. Cultural Particle Swarm Optimization. [Internet] [Thesis]. Oklahoma State University; 2010. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/11244/7852.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Daneshyari M. Cultural Particle Swarm Optimization. [Thesis]. Oklahoma State University; 2010. Available from: http://hdl.handle.net/11244/7852

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

6. Kang, Bosung. Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP).

Degree: PhD, Electrical Engineering, 2015, Penn State University

 Estimating the disturbance or clutter covariance is a centrally important problem in radar space time adaptive processing (STAP) since estimation of the disturbance or interference… (more)

Subjects/Keywords: convex optimization; STAP; radar signal processing; constrained optimization; detection and estimation

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APA (6th Edition):

Kang, B. (2015). Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP). (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/26539

Chicago Manual of Style (16th Edition):

Kang, Bosung. “Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP).” 2015. Doctoral Dissertation, Penn State University. Accessed October 17, 2019. https://etda.libraries.psu.edu/catalog/26539.

MLA Handbook (7th Edition):

Kang, Bosung. “Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP).” 2015. Web. 17 Oct 2019.

Vancouver:

Kang B. Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP). [Internet] [Doctoral dissertation]. Penn State University; 2015. [cited 2019 Oct 17]. Available from: https://etda.libraries.psu.edu/catalog/26539.

Council of Science Editors:

Kang B. Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP). [Doctoral Dissertation]. Penn State University; 2015. Available from: https://etda.libraries.psu.edu/catalog/26539


Penn State University

7. Solo, Christopher James. MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY.

Degree: PhD, Industrial Engineering, 2009, Penn State University

 This research involves the development of a flexible, multi-objective optimization tool for use by supply chain managers in the design and operation of manufacturing-distribution networks… (more)

Subjects/Keywords: supply chain; uncertainty; stochastic optimization; robust optimization; chance-constrained goal programming

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APA (6th Edition):

Solo, C. J. (2009). MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9709

Chicago Manual of Style (16th Edition):

Solo, Christopher James. “MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY.” 2009. Doctoral Dissertation, Penn State University. Accessed October 17, 2019. https://etda.libraries.psu.edu/catalog/9709.

MLA Handbook (7th Edition):

Solo, Christopher James. “MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY.” 2009. Web. 17 Oct 2019.

Vancouver:

Solo CJ. MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY. [Internet] [Doctoral dissertation]. Penn State University; 2009. [cited 2019 Oct 17]. Available from: https://etda.libraries.psu.edu/catalog/9709.

Council of Science Editors:

Solo CJ. MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY. [Doctoral Dissertation]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/9709


Lehigh University

8. Samadi, Mohammadreza. Efficient Trust Region Methods for Nonconvex Optimization.

Degree: PhD, Industrial Engineering, 2018, Lehigh University

 For decades, a great deal of nonlinear optimization research has focused on modeling and solving convex problems. This has been due to the fact that… (more)

Subjects/Keywords: Complexity Analysis; Constrained Optimization; Nonconvex Optimization; Trust Region Algorithms; Industrial Engineering

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APA (6th Edition):

Samadi, M. (2018). Efficient Trust Region Methods for Nonconvex Optimization. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/4370

Chicago Manual of Style (16th Edition):

Samadi, Mohammadreza. “Efficient Trust Region Methods for Nonconvex Optimization.” 2018. Doctoral Dissertation, Lehigh University. Accessed October 17, 2019. https://preserve.lehigh.edu/etd/4370.

MLA Handbook (7th Edition):

Samadi, Mohammadreza. “Efficient Trust Region Methods for Nonconvex Optimization.” 2018. Web. 17 Oct 2019.

Vancouver:

Samadi M. Efficient Trust Region Methods for Nonconvex Optimization. [Internet] [Doctoral dissertation]. Lehigh University; 2018. [cited 2019 Oct 17]. Available from: https://preserve.lehigh.edu/etd/4370.

Council of Science Editors:

Samadi M. Efficient Trust Region Methods for Nonconvex Optimization. [Doctoral Dissertation]. Lehigh University; 2018. Available from: https://preserve.lehigh.edu/etd/4370


Georgia Tech

9. Rajora, Manik. Intelligent manufacturing for production planning based upon hierarchically coupled constrained and multimodal optimization.

Degree: PhD, Mechanical Engineering, 2018, Georgia Tech

 Hierarchically coupled constrained optimization problems (HCCOPs) are commonly encountered in the manufacturing industries, however, they haven’t been categorized as such. Due to a lack of… (more)

Subjects/Keywords: Hierarchically coupled constrained optimization; Multimodal optimization; Scheduling; Evolutionary algorithm

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APA (6th Edition):

Rajora, M. (2018). Intelligent manufacturing for production planning based upon hierarchically coupled constrained and multimodal optimization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59847

Chicago Manual of Style (16th Edition):

Rajora, Manik. “Intelligent manufacturing for production planning based upon hierarchically coupled constrained and multimodal optimization.” 2018. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/59847.

MLA Handbook (7th Edition):

Rajora, Manik. “Intelligent manufacturing for production planning based upon hierarchically coupled constrained and multimodal optimization.” 2018. Web. 17 Oct 2019.

Vancouver:

Rajora M. Intelligent manufacturing for production planning based upon hierarchically coupled constrained and multimodal optimization. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/59847.

Council of Science Editors:

Rajora M. Intelligent manufacturing for production planning based upon hierarchically coupled constrained and multimodal optimization. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59847


Georgia Tech

10. Torrico Palacios, Alfredo Ignacio. RESOURCE ALLOCATION AND SUBSET SELECTION: NEW APPROACHES AT THE INTERFACE BETWEEN DISCRETE AND CONTINUOUS OPTIMIZATION.

Degree: PhD, Industrial and Systems Engineering, 2019, Georgia Tech

 Resource allocation and subset selection are two relevant classes of problems in the core of combinatorial optimization. Over the past decade, there has been an… (more)

Subjects/Keywords: Combinatorial Optimization; Online Optimization; Online Bipartite Matching; Constrained Submodular Maximization

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APA (6th Edition):

Torrico Palacios, A. I. (2019). RESOURCE ALLOCATION AND SUBSET SELECTION: NEW APPROACHES AT THE INTERFACE BETWEEN DISCRETE AND CONTINUOUS OPTIMIZATION. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61720

Chicago Manual of Style (16th Edition):

Torrico Palacios, Alfredo Ignacio. “RESOURCE ALLOCATION AND SUBSET SELECTION: NEW APPROACHES AT THE INTERFACE BETWEEN DISCRETE AND CONTINUOUS OPTIMIZATION.” 2019. Doctoral Dissertation, Georgia Tech. Accessed October 17, 2019. http://hdl.handle.net/1853/61720.

MLA Handbook (7th Edition):

Torrico Palacios, Alfredo Ignacio. “RESOURCE ALLOCATION AND SUBSET SELECTION: NEW APPROACHES AT THE INTERFACE BETWEEN DISCRETE AND CONTINUOUS OPTIMIZATION.” 2019. Web. 17 Oct 2019.

Vancouver:

Torrico Palacios AI. RESOURCE ALLOCATION AND SUBSET SELECTION: NEW APPROACHES AT THE INTERFACE BETWEEN DISCRETE AND CONTINUOUS OPTIMIZATION. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1853/61720.

Council of Science Editors:

Torrico Palacios AI. RESOURCE ALLOCATION AND SUBSET SELECTION: NEW APPROACHES AT THE INTERFACE BETWEEN DISCRETE AND CONTINUOUS OPTIMIZATION. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61720


University of Washington

11. Dueri, Daniel Alejandro. Real-time Optimization in Aerospace Systems.

Degree: PhD, 2019, University of Washington

 Algorithm design for autonomous vehicles has been attracting immense research interest, and with the proliferation of self-driving cars, autonomous drone delivery systems, and the increasing… (more)

Subjects/Keywords: constrained optimization; convex optimization; optimal control theory; real-time optimization; Aerospace engineering; Aeronautics and astronautics

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APA (6th Edition):

Dueri, D. A. (2019). Real-time Optimization in Aerospace Systems. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/43279

Chicago Manual of Style (16th Edition):

Dueri, Daniel Alejandro. “Real-time Optimization in Aerospace Systems.” 2019. Doctoral Dissertation, University of Washington. Accessed October 17, 2019. http://hdl.handle.net/1773/43279.

MLA Handbook (7th Edition):

Dueri, Daniel Alejandro. “Real-time Optimization in Aerospace Systems.” 2019. Web. 17 Oct 2019.

Vancouver:

Dueri DA. Real-time Optimization in Aerospace Systems. [Internet] [Doctoral dissertation]. University of Washington; 2019. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1773/43279.

Council of Science Editors:

Dueri DA. Real-time Optimization in Aerospace Systems. [Doctoral Dissertation]. University of Washington; 2019. Available from: http://hdl.handle.net/1773/43279


Oklahoma State University

12. Kadkol, Ashwin A. Culture Based Particle Swarm Optimization Framework for Constrained Dynamic Multiple Objective Optimization.

Degree: School of Electrical & Computer Engineering, 2010, Oklahoma State University

 Real world optimization problems are usually dynamic multiple objective in nature with several constraints on the function values in the presence of uncertainties and bounds… (more)

Subjects/Keywords: computational intelligence; constrained optimization; cultural algorithm; dynamic optimization; multiple objective optimization; pid controller

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APA (6th Edition):

Kadkol, A. A. (2010). Culture Based Particle Swarm Optimization Framework for Constrained Dynamic Multiple Objective Optimization. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/10224

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kadkol, Ashwin A. “Culture Based Particle Swarm Optimization Framework for Constrained Dynamic Multiple Objective Optimization.” 2010. Thesis, Oklahoma State University. Accessed October 17, 2019. http://hdl.handle.net/11244/10224.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kadkol, Ashwin A. “Culture Based Particle Swarm Optimization Framework for Constrained Dynamic Multiple Objective Optimization.” 2010. Web. 17 Oct 2019.

Vancouver:

Kadkol AA. Culture Based Particle Swarm Optimization Framework for Constrained Dynamic Multiple Objective Optimization. [Internet] [Thesis]. Oklahoma State University; 2010. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/11244/10224.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kadkol AA. Culture Based Particle Swarm Optimization Framework for Constrained Dynamic Multiple Objective Optimization. [Thesis]. Oklahoma State University; 2010. Available from: http://hdl.handle.net/11244/10224

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Arizona

13. Chernikov, Dmitry. PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance .

Degree: 2017, University of Arizona

 In this dissertation we investigate methods of solving various optimization problems with PDE constraints, i.e. optimization problems that have a system of partial differential equations… (more)

Subjects/Keywords: adjoint differentiation; automatic differentiation; multiphysics; nonlinear optimization; optimization of portfolio of options; PDE-constrained optimization

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APA (6th Edition):

Chernikov, D. (2017). PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/626368

Chicago Manual of Style (16th Edition):

Chernikov, Dmitry. “PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance .” 2017. Doctoral Dissertation, University of Arizona. Accessed October 17, 2019. http://hdl.handle.net/10150/626368.

MLA Handbook (7th Edition):

Chernikov, Dmitry. “PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance .” 2017. Web. 17 Oct 2019.

Vancouver:

Chernikov D. PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance . [Internet] [Doctoral dissertation]. University of Arizona; 2017. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/10150/626368.

Council of Science Editors:

Chernikov D. PDE Constrained Optimization in Stochastic and Deterministic Problems of Multiphysics and Finance . [Doctoral Dissertation]. University of Arizona; 2017. Available from: http://hdl.handle.net/10150/626368

14. Vanitha M. Investigations on non convex economic load dispatch problem and solution through constrained optimization techniques;.

Degree: non convex economic load dispatch problem and solution through constrained optimization techniques, 2014, Anna University

In the modern scenario, the electric power generation is very newlineessential and is a major criterion for all power related applications. There are newlinevarious resources… (more)

Subjects/Keywords: Constrained optimization techniques; Economic Load Dispatch; Electrical engineering

Page 1

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APA (6th Edition):

M, V. (2014). Investigations on non convex economic load dispatch problem and solution through constrained optimization techniques;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/16071

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

M, Vanitha. “Investigations on non convex economic load dispatch problem and solution through constrained optimization techniques;.” 2014. Thesis, Anna University. Accessed October 17, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/16071.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

M, Vanitha. “Investigations on non convex economic load dispatch problem and solution through constrained optimization techniques;.” 2014. Web. 17 Oct 2019.

Vancouver:

M V. Investigations on non convex economic load dispatch problem and solution through constrained optimization techniques;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Oct 17]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/16071.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

M V. Investigations on non convex economic load dispatch problem and solution through constrained optimization techniques;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/16071

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

15. Narmathabanu R. Genetic algorithmbased preventiveAnd corrective control approachesFor power system securityEnhancement;.

Degree: Genetic algorithmbased preventiveAnd corrective control approachesFor power system securityEnhancement, 2014, Anna University

The ability of a power system to withstand the occurrence of newlinecontingencies like outage of transmission line or generator without any newlineuntoward incident is called… (more)

Subjects/Keywords: Genetic Algorithm; Security Constrained Optimal Power Flow; Several optimization techniques

Page 1

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APA (6th Edition):

R, N. (2014). Genetic algorithmbased preventiveAnd corrective control approachesFor power system securityEnhancement;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/30145

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

R, Narmathabanu. “Genetic algorithmbased preventiveAnd corrective control approachesFor power system securityEnhancement;.” 2014. Thesis, Anna University. Accessed October 17, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/30145.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

R, Narmathabanu. “Genetic algorithmbased preventiveAnd corrective control approachesFor power system securityEnhancement;.” 2014. Web. 17 Oct 2019.

Vancouver:

R N. Genetic algorithmbased preventiveAnd corrective control approachesFor power system securityEnhancement;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Oct 17]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/30145.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

R N. Genetic algorithmbased preventiveAnd corrective control approachesFor power system securityEnhancement;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/30145

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Tennessee – Knoxville

16. Moon, Sangwoo. A Novel Hybrid Dimensionality Reduction Method using Support Vector Machines and Independent Component Analysis.

Degree: 2010, University of Tennessee – Knoxville

 Due to the increasing demand for high dimensional data analysis from various applications such as electrocardiogram signal analysis and gene expression analysis for cancer detection,… (more)

Subjects/Keywords: Support vector machine; independent component analysis; Hybrid dimensionality reduction; Constrained optimization

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APA (6th Edition):

Moon, S. (2010). A Novel Hybrid Dimensionality Reduction Method using Support Vector Machines and Independent Component Analysis. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/829

Chicago Manual of Style (16th Edition):

Moon, Sangwoo. “A Novel Hybrid Dimensionality Reduction Method using Support Vector Machines and Independent Component Analysis.” 2010. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed October 17, 2019. https://trace.tennessee.edu/utk_graddiss/829.

MLA Handbook (7th Edition):

Moon, Sangwoo. “A Novel Hybrid Dimensionality Reduction Method using Support Vector Machines and Independent Component Analysis.” 2010. Web. 17 Oct 2019.

Vancouver:

Moon S. A Novel Hybrid Dimensionality Reduction Method using Support Vector Machines and Independent Component Analysis. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2010. [cited 2019 Oct 17]. Available from: https://trace.tennessee.edu/utk_graddiss/829.

Council of Science Editors:

Moon S. A Novel Hybrid Dimensionality Reduction Method using Support Vector Machines and Independent Component Analysis. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2010. Available from: https://trace.tennessee.edu/utk_graddiss/829


Louisiana State University

17. Ciftci, Okan. Microgrid Energy Management with Flexibility Constraints: A Data-Driven Solution Method.

Degree: MSEE, Power and Energy, 2017, Louisiana State University

  Microgrid energy management is a challenging and important problem in modern power systems. Several deterministic and stochastic models have been proposed in the literature… (more)

Subjects/Keywords: microgrid; energy management; energy storage; flexibility; data-driven; chance-constrained optimization

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APA (6th Edition):

Ciftci, O. (2017). Microgrid Energy Management with Flexibility Constraints: A Data-Driven Solution Method. (Masters Thesis). Louisiana State University. Retrieved from https://digitalcommons.lsu.edu/gradschool_theses/4351

Chicago Manual of Style (16th Edition):

Ciftci, Okan. “Microgrid Energy Management with Flexibility Constraints: A Data-Driven Solution Method.” 2017. Masters Thesis, Louisiana State University. Accessed October 17, 2019. https://digitalcommons.lsu.edu/gradschool_theses/4351.

MLA Handbook (7th Edition):

Ciftci, Okan. “Microgrid Energy Management with Flexibility Constraints: A Data-Driven Solution Method.” 2017. Web. 17 Oct 2019.

Vancouver:

Ciftci O. Microgrid Energy Management with Flexibility Constraints: A Data-Driven Solution Method. [Internet] [Masters thesis]. Louisiana State University; 2017. [cited 2019 Oct 17]. Available from: https://digitalcommons.lsu.edu/gradschool_theses/4351.

Council of Science Editors:

Ciftci O. Microgrid Energy Management with Flexibility Constraints: A Data-Driven Solution Method. [Masters Thesis]. Louisiana State University; 2017. Available from: https://digitalcommons.lsu.edu/gradschool_theses/4351


Virginia Tech

18. Hunter, Susan R. Sampling Laws for Stochastically Constrained Simulation Optimization on Finite Sets.

Degree: PhD, Industrial and Systems Engineering, 2011, Virginia Tech

 Consider the context of selecting an optimal system from among a finite set of competing systems, based on a â stochasticâ objective function and subject(more)

Subjects/Keywords: optimal allocation; constrained simulation optimization; ranking and selection

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APA (6th Edition):

Hunter, S. R. (2011). Sampling Laws for Stochastically Constrained Simulation Optimization on Finite Sets. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/39742

Chicago Manual of Style (16th Edition):

Hunter, Susan R. “Sampling Laws for Stochastically Constrained Simulation Optimization on Finite Sets.” 2011. Doctoral Dissertation, Virginia Tech. Accessed October 17, 2019. http://hdl.handle.net/10919/39742.

MLA Handbook (7th Edition):

Hunter, Susan R. “Sampling Laws for Stochastically Constrained Simulation Optimization on Finite Sets.” 2011. Web. 17 Oct 2019.

Vancouver:

Hunter SR. Sampling Laws for Stochastically Constrained Simulation Optimization on Finite Sets. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/10919/39742.

Council of Science Editors:

Hunter SR. Sampling Laws for Stochastically Constrained Simulation Optimization on Finite Sets. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/39742


Curtin University of Technology

19. Yu, Changjun. A study of optimization and optimal control computation : exact penalty function approach .

Degree: 2012, Curtin University of Technology

 In this thesis, We propose new computational algorithms and methods for solving four classes of constrained optimization and optimal control problems. In Chapter 1, we… (more)

Subjects/Keywords: new computational algorithms; constrained optimization and optimal control; constraint violation

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APA (6th Edition):

Yu, C. (2012). A study of optimization and optimal control computation : exact penalty function approach . (Thesis). Curtin University of Technology. Retrieved from http://hdl.handle.net/20.500.11937/2387

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yu, Changjun. “A study of optimization and optimal control computation : exact penalty function approach .” 2012. Thesis, Curtin University of Technology. Accessed October 17, 2019. http://hdl.handle.net/20.500.11937/2387.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yu, Changjun. “A study of optimization and optimal control computation : exact penalty function approach .” 2012. Web. 17 Oct 2019.

Vancouver:

Yu C. A study of optimization and optimal control computation : exact penalty function approach . [Internet] [Thesis]. Curtin University of Technology; 2012. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/20.500.11937/2387.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yu C. A study of optimization and optimal control computation : exact penalty function approach . [Thesis]. Curtin University of Technology; 2012. Available from: http://hdl.handle.net/20.500.11937/2387

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Utah State University

20. Chandrasekaran, Saranya. Bio-Inspired Distributed Constrained Optimization Technique and its Application in Dynamic Thermal Management.

Degree: MS, Electrical and Computer Engineering, 2010, Utah State University

 The stomatal network in plants is a well-characterized biological system that hypothetically solves the constrained optimization problem of maximizing CO2 uptake from the air while… (more)

Subjects/Keywords: bio-inspired; constrained optimization technique; application; dynamic thermal management; Computer Engineering

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APA (6th Edition):

Chandrasekaran, S. (2010). Bio-Inspired Distributed Constrained Optimization Technique and its Application in Dynamic Thermal Management. (Masters Thesis). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/701

Chicago Manual of Style (16th Edition):

Chandrasekaran, Saranya. “Bio-Inspired Distributed Constrained Optimization Technique and its Application in Dynamic Thermal Management.” 2010. Masters Thesis, Utah State University. Accessed October 17, 2019. https://digitalcommons.usu.edu/etd/701.

MLA Handbook (7th Edition):

Chandrasekaran, Saranya. “Bio-Inspired Distributed Constrained Optimization Technique and its Application in Dynamic Thermal Management.” 2010. Web. 17 Oct 2019.

Vancouver:

Chandrasekaran S. Bio-Inspired Distributed Constrained Optimization Technique and its Application in Dynamic Thermal Management. [Internet] [Masters thesis]. Utah State University; 2010. [cited 2019 Oct 17]. Available from: https://digitalcommons.usu.edu/etd/701.

Council of Science Editors:

Chandrasekaran S. Bio-Inspired Distributed Constrained Optimization Technique and its Application in Dynamic Thermal Management. [Masters Thesis]. Utah State University; 2010. Available from: https://digitalcommons.usu.edu/etd/701


University of New South Wales

21. Hu, Wei. VALUATION OF NON-TRANSFERABLE AND NON-HEDGEABLE CONTINGENT CLAIMS AND AN EXECUTIVE STOCK OPTIONS IMPLEMENTATION.

Degree: Banking & Finance, 2011, University of New South Wales

 As traditional contingent claims valuation methods do not apply to non-transferable and non-hedgeable contingent claims, recent proliferation of such claims creates the need for the… (more)

Subjects/Keywords: Stochastic discount factor; ESO; Constrained portfolio optimization; Credit risk; Reload option

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APA (6th Edition):

Hu, W. (2011). VALUATION OF NON-TRANSFERABLE AND NON-HEDGEABLE CONTINGENT CLAIMS AND AN EXECUTIVE STOCK OPTIONS IMPLEMENTATION. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/51924 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10594/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Hu, Wei. “VALUATION OF NON-TRANSFERABLE AND NON-HEDGEABLE CONTINGENT CLAIMS AND AN EXECUTIVE STOCK OPTIONS IMPLEMENTATION.” 2011. Doctoral Dissertation, University of New South Wales. Accessed October 17, 2019. http://handle.unsw.edu.au/1959.4/51924 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10594/SOURCE02?view=true.

MLA Handbook (7th Edition):

Hu, Wei. “VALUATION OF NON-TRANSFERABLE AND NON-HEDGEABLE CONTINGENT CLAIMS AND AN EXECUTIVE STOCK OPTIONS IMPLEMENTATION.” 2011. Web. 17 Oct 2019.

Vancouver:

Hu W. VALUATION OF NON-TRANSFERABLE AND NON-HEDGEABLE CONTINGENT CLAIMS AND AN EXECUTIVE STOCK OPTIONS IMPLEMENTATION. [Internet] [Doctoral dissertation]. University of New South Wales; 2011. [cited 2019 Oct 17]. Available from: http://handle.unsw.edu.au/1959.4/51924 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10594/SOURCE02?view=true.

Council of Science Editors:

Hu W. VALUATION OF NON-TRANSFERABLE AND NON-HEDGEABLE CONTINGENT CLAIMS AND AN EXECUTIVE STOCK OPTIONS IMPLEMENTATION. [Doctoral Dissertation]. University of New South Wales; 2011. Available from: http://handle.unsw.edu.au/1959.4/51924 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10594/SOURCE02?view=true


University of New South Wales

22. Hamza, Noha. Hybridizing constraint consensus methods with evolutionary algorithms for constrained optimization.

Degree: Engineering & Information Technology, 2012, University of New South Wales

 Solving Constrained Optimization Problems (COPs) has been an important research topic in the optimization, operation research, and computer science domains. In COPs, an optimal solution… (more)

Subjects/Keywords: Genetic Algorithms; Evolutionary Algorithms; Constrained Optimization; Differential Evolution

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APA (6th Edition):

Hamza, N. (2012). Hybridizing constraint consensus methods with evolutionary algorithms for constrained optimization. (Masters Thesis). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52091 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10761/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Hamza, Noha. “Hybridizing constraint consensus methods with evolutionary algorithms for constrained optimization.” 2012. Masters Thesis, University of New South Wales. Accessed October 17, 2019. http://handle.unsw.edu.au/1959.4/52091 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10761/SOURCE01?view=true.

MLA Handbook (7th Edition):

Hamza, Noha. “Hybridizing constraint consensus methods with evolutionary algorithms for constrained optimization.” 2012. Web. 17 Oct 2019.

Vancouver:

Hamza N. Hybridizing constraint consensus methods with evolutionary algorithms for constrained optimization. [Internet] [Masters thesis]. University of New South Wales; 2012. [cited 2019 Oct 17]. Available from: http://handle.unsw.edu.au/1959.4/52091 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10761/SOURCE01?view=true.

Council of Science Editors:

Hamza N. Hybridizing constraint consensus methods with evolutionary algorithms for constrained optimization. [Masters Thesis]. University of New South Wales; 2012. Available from: http://handle.unsw.edu.au/1959.4/52091 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10761/SOURCE01?view=true


University of Southern California

23. Wang, Yi. Towards energy efficient mobile sensing.

Degree: PhD, Electrical Engineering, 2011, University of Southern California

 Mobile device based urban sensing, participatory sensing, and user activity recognition can provide rich contextual information for mobile applications such as social networking and location… (more)

Subjects/Keywords: constrained stochastic optimization; energy efficiency; mobile sensing; state estimation

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APA (6th Edition):

Wang, Y. (2011). Towards energy efficient mobile sensing. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/445526/rec/7526

Chicago Manual of Style (16th Edition):

Wang, Yi. “Towards energy efficient mobile sensing.” 2011. Doctoral Dissertation, University of Southern California. Accessed October 17, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/445526/rec/7526.

MLA Handbook (7th Edition):

Wang, Yi. “Towards energy efficient mobile sensing.” 2011. Web. 17 Oct 2019.

Vancouver:

Wang Y. Towards energy efficient mobile sensing. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Oct 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/445526/rec/7526.

Council of Science Editors:

Wang Y. Towards energy efficient mobile sensing. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/445526/rec/7526


University of New South Wales

24. Sallam, Karam. A Study of Function Landscape and Search Space with Evolutionary Algorithms.

Degree: Engineering & Information Technology, 2018, University of New South Wales

Optimization techniques are used extensively to solve many real-world decision making problems which have different characteristics and mathematical properties that make the process of finding… (more)

Subjects/Keywords: differential evolution; Evolutionary algorithms; constrained optimization; landscape analysis; reduced search space

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APA (6th Edition):

Sallam, K. (2018). A Study of Function Landscape and Search Space with Evolutionary Algorithms. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/59803 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49835/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Sallam, Karam. “A Study of Function Landscape and Search Space with Evolutionary Algorithms.” 2018. Doctoral Dissertation, University of New South Wales. Accessed October 17, 2019. http://handle.unsw.edu.au/1959.4/59803 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49835/SOURCE02?view=true.

MLA Handbook (7th Edition):

Sallam, Karam. “A Study of Function Landscape and Search Space with Evolutionary Algorithms.” 2018. Web. 17 Oct 2019.

Vancouver:

Sallam K. A Study of Function Landscape and Search Space with Evolutionary Algorithms. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2019 Oct 17]. Available from: http://handle.unsw.edu.au/1959.4/59803 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49835/SOURCE02?view=true.

Council of Science Editors:

Sallam K. A Study of Function Landscape and Search Space with Evolutionary Algorithms. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/59803 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49835/SOURCE02?view=true


University of New South Wales

25. Chand, Shelvin. Automated Design of Heuristics for the Resource Constrained Project Scheduling Problem.

Degree: Engineering & Information Technology, 2018, University of New South Wales

 Classical project scheduling problem (PSP) usually involves a set of non-preempt-able and precedence related activities that need to be scheduled. The resource constrained project scheduling… (more)

Subjects/Keywords: Resource Constrained Project Scheduling; Optimization; Scheduling; Heuristics; Hyper-Heuristics

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APA (6th Edition):

Chand, S. (2018). Automated Design of Heuristics for the Resource Constrained Project Scheduling Problem. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/60621 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:52846/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Chand, Shelvin. “Automated Design of Heuristics for the Resource Constrained Project Scheduling Problem.” 2018. Doctoral Dissertation, University of New South Wales. Accessed October 17, 2019. http://handle.unsw.edu.au/1959.4/60621 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:52846/SOURCE02?view=true.

MLA Handbook (7th Edition):

Chand, Shelvin. “Automated Design of Heuristics for the Resource Constrained Project Scheduling Problem.” 2018. Web. 17 Oct 2019.

Vancouver:

Chand S. Automated Design of Heuristics for the Resource Constrained Project Scheduling Problem. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2019 Oct 17]. Available from: http://handle.unsw.edu.au/1959.4/60621 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:52846/SOURCE02?view=true.

Council of Science Editors:

Chand S. Automated Design of Heuristics for the Resource Constrained Project Scheduling Problem. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/60621 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:52846/SOURCE02?view=true


University of New South Wales

26. Hamza, Noha. Search Techniques for Evolutionary Constrained Optimization.

Degree: Engineering & Information Technology, 2016, University of New South Wales

 Solving Constrained Optimization Problems (COPs) has been an important research topic in the optimization, operation research, and computer science domains. Over the last few decades,… (more)

Subjects/Keywords: differential evolution; Evolutionary algorithms; constrained optimization; constraint consensus; constraint-handling

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APA (6th Edition):

Hamza, N. (2016). Search Techniques for Evolutionary Constrained Optimization. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/56426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40694/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Hamza, Noha. “Search Techniques for Evolutionary Constrained Optimization.” 2016. Doctoral Dissertation, University of New South Wales. Accessed October 17, 2019. http://handle.unsw.edu.au/1959.4/56426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40694/SOURCE02?view=true.

MLA Handbook (7th Edition):

Hamza, Noha. “Search Techniques for Evolutionary Constrained Optimization.” 2016. Web. 17 Oct 2019.

Vancouver:

Hamza N. Search Techniques for Evolutionary Constrained Optimization. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2019 Oct 17]. Available from: http://handle.unsw.edu.au/1959.4/56426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40694/SOURCE02?view=true.

Council of Science Editors:

Hamza N. Search Techniques for Evolutionary Constrained Optimization. [Doctoral Dissertation]. University of New South Wales; 2016. Available from: http://handle.unsw.edu.au/1959.4/56426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40694/SOURCE02?view=true


Queens University

27. Peter, Samuel. Constrained extremum-seeking control in discrete-time with application to liquefier unit power minimization .

Degree: Chemical Engineering, 2016, Queens University

 Given the increasing complexity of engineering systems, difficulties are often met in developing models that describe these systems accurately. If the model is used for… (more)

Subjects/Keywords: Liquefier Optimization; Constrained ESC; time-varying ESC; ESC

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APA (6th Edition):

Peter, S. (2016). Constrained extremum-seeking control in discrete-time with application to liquefier unit power minimization . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/14287

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Peter, Samuel. “Constrained extremum-seeking control in discrete-time with application to liquefier unit power minimization .” 2016. Thesis, Queens University. Accessed October 17, 2019. http://hdl.handle.net/1974/14287.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Peter, Samuel. “Constrained extremum-seeking control in discrete-time with application to liquefier unit power minimization .” 2016. Web. 17 Oct 2019.

Vancouver:

Peter S. Constrained extremum-seeking control in discrete-time with application to liquefier unit power minimization . [Internet] [Thesis]. Queens University; 2016. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/1974/14287.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Peter S. Constrained extremum-seeking control in discrete-time with application to liquefier unit power minimization . [Thesis]. Queens University; 2016. Available from: http://hdl.handle.net/1974/14287

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

28. Turner, Jason Eric. A new method for projection based model reduction of linear inequality constrained systems.

Degree: MS, Aerospace Engineering, 2019, University of Illinois – Urbana-Champaign

 Computational modeling research centers around developing ever better representations of physics. The objective of model reduction specialists is to take that high fidelity understanding and… (more)

Subjects/Keywords: Constrained Optimization; Model Reduction; POD; Generalized Coordinate Bounding

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APA (6th Edition):

Turner, J. E. (2019). A new method for projection based model reduction of linear inequality constrained systems. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/104952

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Turner, Jason Eric. “A new method for projection based model reduction of linear inequality constrained systems.” 2019. Thesis, University of Illinois – Urbana-Champaign. Accessed October 17, 2019. http://hdl.handle.net/2142/104952.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Turner, Jason Eric. “A new method for projection based model reduction of linear inequality constrained systems.” 2019. Web. 17 Oct 2019.

Vancouver:

Turner JE. A new method for projection based model reduction of linear inequality constrained systems. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2019. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/2142/104952.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Turner JE. A new method for projection based model reduction of linear inequality constrained systems. [Thesis]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/104952

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Manchester

29. Allmendinger, Richard. Tuning evolutionary search for closed-loop optimization.

Degree: PhD, 2012, University of Manchester

 Closed-loop optimization deals with problems in which candidate solutions are evaluated by conducting experiments, e.g. physical or biochemical experiments. Although this form of optimization is… (more)

Subjects/Keywords: 519.6; Optimization; Closed-loop optimization; Evolutionary computation; Constrained optimization; Dynamic optimization; Reinforcement learning; Adaptation; Bandit algorithms

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APA (6th Edition):

Allmendinger, R. (2012). Tuning evolutionary search for closed-loop optimization. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/tuning-evolutionary-search-for-closedloop-optimization(d54e63e2-7927-42aa-b974-c41e717298cb).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553386

Chicago Manual of Style (16th Edition):

Allmendinger, Richard. “Tuning evolutionary search for closed-loop optimization.” 2012. Doctoral Dissertation, University of Manchester. Accessed October 17, 2019. https://www.research.manchester.ac.uk/portal/en/theses/tuning-evolutionary-search-for-closedloop-optimization(d54e63e2-7927-42aa-b974-c41e717298cb).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553386.

MLA Handbook (7th Edition):

Allmendinger, Richard. “Tuning evolutionary search for closed-loop optimization.” 2012. Web. 17 Oct 2019.

Vancouver:

Allmendinger R. Tuning evolutionary search for closed-loop optimization. [Internet] [Doctoral dissertation]. University of Manchester; 2012. [cited 2019 Oct 17]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/tuning-evolutionary-search-for-closedloop-optimization(d54e63e2-7927-42aa-b974-c41e717298cb).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553386.

Council of Science Editors:

Allmendinger R. Tuning evolutionary search for closed-loop optimization. [Doctoral Dissertation]. University of Manchester; 2012. Available from: https://www.research.manchester.ac.uk/portal/en/theses/tuning-evolutionary-search-for-closedloop-optimization(d54e63e2-7927-42aa-b974-c41e717298cb).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553386


The Ohio State University

30. Sun, Chuangchuang. Rank-Constrained Optimization: Algorithms and Applications.

Degree: PhD, Aero/Astro Engineering, 2018, The Ohio State University

 Matrix rank related optimization problems comprise rank-constrained optimizationproblems (RCOPs) and rank minimization problems, which involve the matrix rank functionin the objective or the constraints. General… (more)

Subjects/Keywords: Aerospace Engineering; Computer Science; Computer Engineering; Engineering; Electrical Engineering; optimization, rank-constrained optimization

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APA (6th Edition):

Sun, C. (2018). Rank-Constrained Optimization: Algorithms and Applications. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1531750343188114

Chicago Manual of Style (16th Edition):

Sun, Chuangchuang. “Rank-Constrained Optimization: Algorithms and Applications.” 2018. Doctoral Dissertation, The Ohio State University. Accessed October 17, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1531750343188114.

MLA Handbook (7th Edition):

Sun, Chuangchuang. “Rank-Constrained Optimization: Algorithms and Applications.” 2018. Web. 17 Oct 2019.

Vancouver:

Sun C. Rank-Constrained Optimization: Algorithms and Applications. [Internet] [Doctoral dissertation]. The Ohio State University; 2018. [cited 2019 Oct 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1531750343188114.

Council of Science Editors:

Sun C. Rank-Constrained Optimization: Algorithms and Applications. [Doctoral Dissertation]. The Ohio State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1531750343188114

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